GetReal Security expands its deepfake defense platform with continuous identity verification, targeting enterprise threats from synthetic media, voice cloning, and AI-driven impersonation attacks in real-time communications.
Grifters are deploying AI-generated Black personas on TikTok Shop to sell cheap Shein dropshipped products, raising fresh concerns about synthetic media, digital blackface, and platform authenticity enforcement.
Reality Defender is leveraging AWS infrastructure to scale its multi-model deepfake detection platform, targeting enterprise clients in finance, government, and media facing rising synthetic media threats.
A technical look at how decoding algorithms — from greedy search to nucleus sampling and speculative decoding — shape LLM inference quality, latency, and cost in modern generative AI systems.
VisionLabs reveals deepfake-based attacks on banking biometric systems can be executed for as little as $5, exposing critical weaknesses in face verification and liveness detection across financial services.
Samsung has begun shipping HBM4E memory samples, moving ahead of SK Hynix and Micron in the next-generation AI memory race. The advance has major implications for generative AI workloads including video synthesis.
YouTube is rolling out an experimental feature that lets users describe what they want to watch in natural language, generating a personalized AI-curated video feed on demand.
As AI-generated content floods the web, models increasingly train on synthetic data, risking model collapse—a degenerative process where outputs lose diversity, accuracy, and connection to reality.
ByteDance is reportedly designing its own CPUs for AI inference, joining hyperscalers in vertical silicon integration. The move could reshape cost economics for the company's generative video and recommendation workloads.
New research examines how post-training pipelines compress thematic, affective, and stylistic diversity in LLM-generated fiction, revealing a measurable homogenization effect across base and aligned models.
Sakana AI's DiffusionBlocks reframes residual network training as independent denoising tasks, eliminating end-to-end backprop and slashing memory costs for large generative models.
A Silicon Valley super PAC backed by figures tied to OpenAI and Anthropic spent heavily to bury NY Assemblymember Alex Bores over his AI safety bill — instead boosting his profile as he launches a congressional bid.